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2024

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New Legal Realism At 20: Rethinking Law In An Era Of Populism And Social Movements, Jeffrey Omari, Pablo Rueda-Saiz, Richard Ashby Wilson Dec 2024

New Legal Realism At 20: Rethinking Law In An Era Of Populism And Social Movements, Jeffrey Omari, Pablo Rueda-Saiz, Richard Ashby Wilson

Articles

This Article critically examines the New Legal Realism (NLR) movement on its twentieth anniversary and illuminates its distinctive intellectual contributions. In evaluating NLR's unique methodological and substantive contributions, we explore the movement's relationship to other interdisciplinary theories and empirical approaches to law. NLR approaches show a commitment to a comparative, cross-national exploration of legal phenomena while allowing for grounded generalizations about the relationship between law and society. NLR approaches embrace a diverse range of methods and emphasize the importance of "looking up, down, and sideways." Notably, NLR embraces both "top-down" and "bottom-up" methods, providing comprehensive insights into the intricate interactions …


An Exploration Of Np-Complete Problems In Finite And Infinite Constrains, Kayla Marie Schilz Dec 2024

An Exploration Of Np-Complete Problems In Finite And Infinite Constrains, Kayla Marie Schilz

Undergraduate Honors Theses

There is a long-standing problem in the mathematical world known as the P vs NP problem which relates to how we classify math problems. Problems in P are problems that are easy to solve and verify relatively quick whereas and NP are quick to verify, but it is unknown how easy or hard it is to solve quickly. We will discuss what it means to be solved quickly later on. Moving to the next classification, NP is either is equal to P, which would inherently make all P problems equal to NP-Complete, or P is simply not equal to NP. …


Impact Of Water Ionic Chemistry On Kombucha Fermentation, Katherine A. Thompson-Witrick, Olivia Sundman, Sadie Disselkoen, Nicholas Hanson, Cheyenne Butler, Victoria Jordan, Ian Galbraith, Jada Spake, Seiler Pollock, Drew M. Budner Dec 2024

Impact Of Water Ionic Chemistry On Kombucha Fermentation, Katherine A. Thompson-Witrick, Olivia Sundman, Sadie Disselkoen, Nicholas Hanson, Cheyenne Butler, Victoria Jordan, Ian Galbraith, Jada Spake, Seiler Pollock, Drew M. Budner

Chemistry

Kombucha is made by using a symbiotic culture of bacteria and yeast (SCOBY) to ferment sweetened tea. This fermentation produces a beverage with a unique aroma and acidic flavor. Kombucha has recently gained popularity in the United States and has been reported to have numerous health benefits. While there is a wide variation in kombucha composition, little is known about the impact water’s chemistry has on the fermentation and the resulting kombucha. Brewing water for kombucha was altered using the following ions: bicarbonate, chloride, calcium, magnesium, and sulfate at different concentrations. Pre-(tea) and post-(kombucha) fermentation (kombucha) products were analyzed for …


Use Of Equine H3n8 Hemagglutinin As A Broadly Protective Influenza Vaccine Immunogen, David Verhoeven, Brett A. Sponseller, James E. Crowe, Sandhya Bangaru, Richard J. Webby, Brian M. Lee Dec 2024

Use Of Equine H3n8 Hemagglutinin As A Broadly Protective Influenza Vaccine Immunogen, David Verhoeven, Brett A. Sponseller, James E. Crowe, Sandhya Bangaru, Richard J. Webby, Brian M. Lee

Chemistry

Development of an efficacious universal influenza vaccines remains a long-sought goal. Current vaccines have shortfalls such as mid/low efficacy and needing yearly strain revisions to account for viral drift/shift. Horses undergo bi-annual vaccines for the H3N8 equine influenza virus, and surveillance of sera from vaccinees demonstrated very broad reactivity and neutralization to many influenza strains. Subsequently, vaccinating mice using the equine A/Kentucky/1/1991 strain or recombinant hemagglutinin (HA) induced similar broadly reactive and neutralizing antibodies to seasonal and high pathogenicity avian influenza strains. Challenge of vaccinated mice protected from lethal virus challenges across H1N1 and H3N2 strains. This protection correlated with …


(Wp 2024-05) Emerging Engagement Between Philosophy And Philosophy Of Economics: Parfit, Simon, And Sen, John B. Davis Dec 2024

(Wp 2024-05) Emerging Engagement Between Philosophy And Philosophy Of Economics: Parfit, Simon, And Sen, John B. Davis

Economics Working Papers

This paper investigates philosophy’s engagement with one social science, economics, via the philosophy of economics. It first distinguishes mainstream philosophy of economics and heterodox/non-mainstream philosophy of economics, and then argues that the latter’s increasing recourse to analytical reasoning in philosophy to advance its critiques of mainstream economics points toward a new engagement between philosophy of economics and philosophy. To provide grounds for this argument, the paper discusses shared thinking of three key figures: philosophy’s Derek Parfit and from economics Herbert Simon and Amartya Sen. It argues their respective critiques of dominant ideas in their fields reflect a little discussed convergence …


Exploring The Cognitive Sense Of Self In Ai: Ethical Frameworks And Technological Advances For Enhanced Decision-Making, Emily Barnes, James Hutson Dec 2024

Exploring The Cognitive Sense Of Self In Ai: Ethical Frameworks And Technological Advances For Enhanced Decision-Making, Emily Barnes, James Hutson

Faculty Scholarship

The burgeoning field of Artificial Intelligence (AI) increasingly focuses on developing systems capable of self-awareness, merging technological innovation with deep ethical and philosophical considerations. This article explores the cognitive sense of self within AI, examining mechanisms through which AI systems may mirror human-like consciousness and self-perception. Despite significant advances, substantial gaps remain in the understanding and practical implementation of self-aware characteristics in AI, particularly in applying theoretical models and ethical frameworks to real-world scenarios. There is a pressing need for comprehensive research to explore these theoretical underpinnings and translate them into operational systems capable of ethical and adaptable behaviors. This …


Arima-Genetic Algorithm Approach For Forecasting Milk Production In India, Pramit Pandit, Bishvajit Bakshi, Moumita Paul, B. S. Pooja Dec 2024

Arima-Genetic Algorithm Approach For Forecasting Milk Production In India, Pramit Pandit, Bishvajit Bakshi, Moumita Paul, B. S. Pooja

Open Access archive

Background: Dairying in India has witnessed a radical transformation from a largely unorganised activity into a thriving organised industry. However, there are only a limited number of earlier attempts that specifically evaluated the milk production pattern of India. Moreover, most of these earlier studies are quite dated and have employed autoregressive integrated moving average (ARIMA) models, which suffer from the problem of local optima. To overcome this lacuna, we have utilised a genetic algorithm (GA) in the ARIMA framework. Its suitability to forecast the annual milk production in India has also been assessed comparatively with respect to the traditional ARIMA …


A Day In The Badlands: A 52 Million-Year-Old Safari Adventure, Devra Hock-Reid, Judy Diamond, Jenn Paul Dec 2024

A Day In The Badlands: A 52 Million-Year-Old Safari Adventure, Devra Hock-Reid, Judy Diamond, Jenn Paul

Zea E-Books Collection

with Amy Chew, Christopher Gilbert, Ross Secord, and Stephen Chester

Illustrations by Jenn Paul • Book design by Aaron Sutherlen

About the Badlands Fossils -- This story tells about the fossils of ancient animals found in the Wind River and Bighorn basins of Wyoming. Wyoming’s rich fossil record tell us about amazing animals from millions of years ago. About 66 million years ago, an asteroid slammed into the Earth, causing devastating changes that led to the extinction of dinosaurs. As the planet began to recover, it was much warmer than today, allowing palm trees and other tropical plants to grow …


Gamified Learning: Applying Game Design Thinking In Education, Qiaoxin Deng Dec 2024

Gamified Learning: Applying Game Design Thinking In Education, Qiaoxin Deng

ART 108: Introduction to Games Studies

Gamification is an Education Strategy It has gained popularity in recent years. Gamification is a means to foster student engagement and improve their learning journeys. It's about applying game design elements in non-game contexts. This is primarily used in educational settings. Gamification of learning makes it more engaging and fun by introducing rewards, challenges, and competition. By adding rewards, challenges, and competition, gamification makes learning more interesting and interactive (2020).In this essay, I will be discussing the concept of gamification. Its advantages and disadvantages will be explored. It will also give examples, including Duolingo and Quizlet, to illustrate how it …


The Evolution And Preservation Of Video Games: An Artistic And Cultural Journey, Dhru Fuletra Dec 2024

The Evolution And Preservation Of Video Games: An Artistic And Cultural Journey, Dhru Fuletra

ART 108: Introduction to Games Studies

From the first time I held a game controller, video games have been a fundamental part of my life. They started as simple, pixel-filled adventures on early consoles and have grown into the vast, immersive worlds we explore on today’s advanced systems. For me, they’ve always been more than just a way to pass the time; they’ve been gateways to alternate realities where creativity, interaction, and storytelling seamlessly come together. Over the years, video games have transformed from casual hobbies into intricate cultural phenomena and, importantly, into a recognized art form. In this essay, I contend that video games are …


Valorant's Interlinked To Theory Of Representation (Race And Culture) And Feminist Coflict Theory, Gerald Susanteo Dec 2024

Valorant's Interlinked To Theory Of Representation (Race And Culture) And Feminist Coflict Theory, Gerald Susanteo

ART 108: Introduction to Games Studies

A brief introduction to Valorant to new ears and eyes is that Valorant is a video game and what I will be calling a media that was released by Riot Games in 2020, Valorant is a tactical FPS (first person shooter) game that blends strategic gameplay with an immersive sci-fi narrative. The setting of the game takes place in a world destabilized by the mysterious "First Light" event which gives these agents called Radiants their powers and abilities. The game first introduces the organization called Kingdom Corporation as a central antagonist exploiting the Radiants who, like I explained earlier, are …


The Evolution Of Artificial Intelligence In Gaming, Aditi Jorapur Dec 2024

The Evolution Of Artificial Intelligence In Gaming, Aditi Jorapur

ART 108: Introduction to Games Studies

No abstract provided.


The Nature Of Students' Justifications In Geometry: The Impact Of Using Dynamic Geometry Software, Anek Janjaroon Dec 2024

The Nature Of Students' Justifications In Geometry: The Impact Of Using Dynamic Geometry Software, Anek Janjaroon

Doctoral Dissertations

Mathematical justification is a process that reflects how students demonstrate and accept the truth of mathematical statements. The purpose of this study was to investigate the nature of students’ justifications when allowed to use dynamic geometry software in the justification process. The justifications of 18 preservice teachers in response to two geometric conjectures were analyzed to identify characteristics of justifications based on Harel and Sowder’s (1998) framework of proof schemes. The results inform us of the impact of the dynamic software in students’ justifications and the overall nature of students’ work when they use the software to learn geometric ideas. …


Cgbi_Yolo: Lightweight Land Target Detection Network, Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Xiaobing Chen, Wenfeng Zheng Dec 2024

Cgbi_Yolo: Lightweight Land Target Detection Network, Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Xiaobing Chen, Wenfeng Zheng

Faculty Publications

Object detection algorithms for optical remote sensing images often face challenges in computational efficiency, particularly when detecting small and densely packed targets. This paper introduces CGBi_YOLO, a novel lightweight land target detection network designed to optimize computational resource utilization while maintaining detection capabilities for small-scale targets. Our approach incorporates an innovative lightweight optimization strategy featuring a new lightweight backbone feature extraction network: CSPGhostNet. This model significantly enhances the detection ability of small objects within optical remote sensing images without increasing computational demands. The efficacy of the proposed model is validated through rigorous experimentation on the DOTA dataset. Compared to the …


Research Overview On Urban Heat Islands Driven By Computational Intelligence, Chao Liu, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng Dec 2024

Research Overview On Urban Heat Islands Driven By Computational Intelligence, Chao Liu, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng

Faculty Publications

In recent years, the intensification of the urban heat island (UHI) effect has become a significant concern as urbanization accelerates. This survey comprehensively explores the current status of surface UHI research, emphasizing the role of land use and land cover changes (LULC) in urban environments. We conducted a systematic review of 8260 journal articles from the Web of Science database, employing bibliometric analysis and keyword co-occurrence analysis using CiteSpace to identify research hotspots and trends. Our investigation reveals that vegetation cover and land use types are the two most critical factors influencing UHI intensity. We analyze various computational intelligence techniques, …


Theoretical Investigation Of Hydrogen Abstraction From Fluorinated Propanones And Fluorinated Propanals, Laurel Washburn Dec 2024

Theoretical Investigation Of Hydrogen Abstraction From Fluorinated Propanones And Fluorinated Propanals, Laurel Washburn

Honors Theses

Per- and polyfluoroalkyl substances (PFAS) are a class of thousands of industrially used compounds often called “forever” chemicals because of their slow degradation process that leads to accumulation in soil, dust, drinking water, and the body. PFAS are used for their grease and water resistance properties but some of these compounds are toxic at extremely low levels. To better understand the effects of these types of compounds, the main pathways of their degradation need to be further investigated. This study analyzes computationally the hydrogen abstraction reactions by both hydroxyl radical and triplet oxygen atom for all possible fluorinated propanones and …


Reinforcement Learning-Based Optimal Control Of Uncertain Nonlinear Systems, Miguel Garcia, Wenjie Dong Dec 2024

Reinforcement Learning-Based Optimal Control Of Uncertain Nonlinear Systems, Miguel Garcia, Wenjie Dong

Electrical and Computer Engineering Faculty Publications

This paper considers the optimal control of a second-order nonlinear system with unknown dynamics. A new reinforcement learning based approach is proposed with the aid of direct adaptive control. By the new approach actor-critic reinforcement learning algorithms are proposed with three neural network approximation. Simulation results are presented to show the effectiveness of the proposed algorithms.


Artificial Intelligence, Machines, Devices, And Robots: Mobilizing Humanness And Intelligence In The American Techno-Landscape, Carlos A. Batres Dec 2024

Artificial Intelligence, Machines, Devices, And Robots: Mobilizing Humanness And Intelligence In The American Techno-Landscape, Carlos A. Batres

Dissertations

This dissertation is an ethnographic inquiry of artificial intelligence (AI) in the techno-landscape of three major metropolitan areas in the United States. It traces the ways in which both experts and non-experts talk about their interactions with AI via machines, robots, and other devices, and how the ways in which people deal with AI-technologies have come to shape how we think about our own ways of going about doing things. The goal is to discern what the social ramifications of this technology may be as relationships and relations are formed betwixt and between people and artificially intelligent things.


Simple Smale Flows On S3 Using Embedded Templates With Twisted Bands, Anthony Sloan Dec 2024

Simple Smale Flows On S3 Using Embedded Templates With Twisted Bands, Anthony Sloan

Dissertations

We study the linking structure of the attractor-repeller pairs in simple Smale flows on the 3-sphere in which the chaotic saddle set is modeled by four-band templates with twisted bands. This is a small step in an attempt to classify simple Smale flows on S³. We obtain three new theorems which illustrate that the dynamics of simple Smale flows are sensitive to half-twists in the bands of the embedded template. Haynes and Sullivan showed that the attractor-repeller pair a∪r in a simple Smale flow with chaotic saddle set modeled by embedded template U⁺ is either a Hopf link or a …


Surgical Suturing Skill Assessment Using Estimated Hand Roll Angle From A Deep-Learning Computer Vision Algorithm, Jianxin Gao, Amir Mehdi Shayan, Simar P. Singh, Joe Bible, Ravikiran Singapogu, Richard E. Groff Dec 2024

Surgical Suturing Skill Assessment Using Estimated Hand Roll Angle From A Deep-Learning Computer Vision Algorithm, Jianxin Gao, Amir Mehdi Shayan, Simar P. Singh, Joe Bible, Ravikiran Singapogu, Richard E. Groff

Publications

This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously calculated directly from IMU data, counts the number of hand roll reversals during a single suture. To calculate this metric using computer vision, we apply a deep-learning algorithm that can reliably estimate hand roll angles after training on suturing videos collected on the SutureCoach simulator. Results show that the estimation accuracy of the deep-learning algorithm is robust to different video backgrounds. The number of rolls metrics were used to analyze suturing performance in the …


Ellipticity-Controlled Exceptional Points From Nanoscale Metasurfaces, Benjamin Goldberg Dec 2024

Ellipticity-Controlled Exceptional Points From Nanoscale Metasurfaces, Benjamin Goldberg

McKelvey School of Engineering Graduate Student Theses & Dissertations

Precise control over light polarization is critical for advancing technologies in telecommunica- tions, quantum computing, and image sensing. However, existing methods for manipulating polarization around exceptional points in non-Hermitian systems, have exclusively focused on circular polarization and work with reflected light. To address this limitation, we de- velop a novel metasurface platform with high-Q resonators that enables tunable control of polarization exceptional points across arbitrary ellipticity for transmitted light. Our design uses orthogonally polarized guided mode resonators in a two-layer silicon metasurface, where careful tuning of the dipolar guided mode resonances (DGMRs) and layer spacing allows us to control the …


Eco-Digital Trends: Consumer Behavior And Marketing Practices In The Dynamic Context Of Global Warming, Hesham Fazel Dec 2024

Eco-Digital Trends: Consumer Behavior And Marketing Practices In The Dynamic Context Of Global Warming, Hesham Fazel

Journal of Economics and Administrative Sciences

This study targets climate change awareness of 4.54 billion internet users or 56% of the world's population. It examines the reception of brand messages that bring out the aspects of ecological sustainability in the context of the cultural values of social media users. Theoretical framework: The positive link between consumer behavior and environmental responsibility was derived from a web-based survey and PLS-SEM analysis with 480 participants. Design/methodology/approach: The data obtained from the survey on 480 participants is evaluated through a web-based survey and PLS-SEM model that generates the digital platform's interlinkage of consumer behavior with climate change awareness. Findings: This …


Thermal Conductivity Characterization Of High Oleic Vegetable Oils Based Hybrid Nanofluids Formulated Using Gnp, Tio2, Mos2, Al2o3 Nanoparticles For Mql Machining, Anthony Chukwujekwu Okafor, Tobechukwu Kingsley Abor, Saidanvar Esanjonovich Valiev, Ignatius Echezona Ekengwu, Abiodun Saka, Monday Uchenna Okoronkwo Dec 2024

Thermal Conductivity Characterization Of High Oleic Vegetable Oils Based Hybrid Nanofluids Formulated Using Gnp, Tio2, Mos2, Al2o3 Nanoparticles For Mql Machining, Anthony Chukwujekwu Okafor, Tobechukwu Kingsley Abor, Saidanvar Esanjonovich Valiev, Ignatius Echezona Ekengwu, Abiodun Saka, Monday Uchenna Okoronkwo

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This paper presents the results of thermal conductivity characterization of six high oleic soybean oil (HOSO) and four high oleic canola oil (HOCO)-based hybrid nanofluids formulated with four types of nanoparticles (Graphene nanoplatelet (xGnP), TiO2, MoS2, and Al2O3) at nanoparticles wt.% concentration from 1 % to 7 % in 1 % increment using the two-step method for use in MQL machining of difficult-to-cut metals. Thermal conductivity of the formulated hybrid nanofluids were measured using Thermtest Transient Hot Wire Liquid Thermal Conductivity Meter at temperatures from 25 °C to 75 °C in increment of 10 °C. Obtained results showed that thermal …


Interactions Between Bacillus Thuringiensis And Selected Plant Extracts For Sustainable Management Of Phthorimaea Absoluta, Terry A. Ochieng, Komivi S. Akutse, Inusa J. Ajene, Dora C. Kilalo, Maina Muiru, Fathiya M. Khamis Dec 2024

Interactions Between Bacillus Thuringiensis And Selected Plant Extracts For Sustainable Management Of Phthorimaea Absoluta, Terry A. Ochieng, Komivi S. Akutse, Inusa J. Ajene, Dora C. Kilalo, Maina Muiru, Fathiya M. Khamis

All Peer-Reviewed Publications

Phthorimaea absoluta is a global constraint to tomato production and can cause up to 100% yield loss. Farmers heavily rely on synthetic pesticides to manage this pest. However, these pesticides are detrimental to human, animal, and environmental health. Therefore, exploring eco-friendly, sustainable Integrated Pest Management approaches, including biopesticides as potential alternatives, is of paramount importance. In this context, the present study (i) evaluated the efficacy of 10 Bacillus thuringiensis isolates, neem, garlic, and fenugreek; (ii) assessed the interactions between the most potent plant extracts and B. thuringiensis isolates, and (iii) evaluated the gut microbial diversity due to the treatments for …


Meta-Entrepreneurship: An Analysis Theory On Integrating Generative Ai, Agentic Ai, And Metaverse For Entrepreneurship, Yingying Zhang, Keng Siau Dec 2024

Meta-Entrepreneurship: An Analysis Theory On Integrating Generative Ai, Agentic Ai, And Metaverse For Entrepreneurship, Yingying Zhang, Keng Siau

Research Collection School Of Computing and Information Systems

Metaverse entrepreneurship has emerged as an innovative topic alongside the development of generative AI, agentic AI and metaverse. This study conceptualizes meta-entrepreneurship as a novel form of entrepreneurial activity that enables value creation within virtual and physical realms and proposes an analytical theoretical framework based on a systematic literature review, observations, and focus group study. Our framework is structured around three layers (infrastructure, content, and experience) and two domains (metaverse-based operational domain and AI-based production domain), aims to conceptualize “what is meta-entrepreneurship” and identify new possibilities. The research highlights the multifaceted impact of meta-entrepreneurship on individuals, corporations, industries, societies, and …


Towards Privacy-Aware Iot Communications: Delegable, Revocable, And Efficient, Pengfei Wu, Jianfei Sun, Guomin Yang, Robert H. Deng Dec 2024

Towards Privacy-Aware Iot Communications: Delegable, Revocable, And Efficient, Pengfei Wu, Jianfei Sun, Guomin Yang, Robert H. Deng

Research Collection School Of Computing and Information Systems

The Internet of Things (IoT) is widely recognized for its potential to enhance efficiency and productivity across various industries. However, its increasing prevalence has also made it a more attractive target for cybercriminals. While many advanced cryptographic solutions have been developed to secure IoT, some practical security and privacy issues such as self-sovereign delegation, flexible revocation, and lightweight access remain inadequately addressed in existing solutions. In this paper, we propose PLIC, a Privacy-aware Lightweight IoT Communication scheme, which not only enables any authorized user to flexibly delegate their lightweight access privileges to other delegatees, such that they can also access …


Virtual Conferencing Fatigue: Look‑Alike Avatar And Facial Attractiveness, Yuxin Liu, Keng Siau, Xueqing Wang, Yang Yang Dec 2024

Virtual Conferencing Fatigue: Look‑Alike Avatar And Facial Attractiveness, Yuxin Liu, Keng Siau, Xueqing Wang, Yang Yang

Research Collection School Of Computing and Information Systems

The rapid evolution of avatar-related technologies provides extensive opportunities for diverse avatar applications in various areas. This study aims to investigate the innovative use of avatars to mitigate virtual conferencing fatigue, which refers to the physical and mental exhaustion from the inappropriate use of virtual conferencing applications. Grounded in Self-Awareness Theory, the research compares the impact of using real faces and user-look-alike avatars on virtual conferencing fatigue, delving into its underlying factors. In addition, the study examines the role of facial attractiveness enhancement on virtual conferencing fatigue. Laboratory experiments with a 2-by-2 between-subject design are employed to test hypotheses. The …


Shaping Preferences With Pigouvian Taxes, Gary M. Lucas Jr. Dec 2024

Shaping Preferences With Pigouvian Taxes, Gary M. Lucas Jr.

Faculty Scholarship

A Pigouvian tax is a tax that is imposed to correct an externality, which arises when a person engages in behavior that harms others without their consent. Pigouvian taxes are popular among academics—with prominent economists and legal scholars arguing for their imposition on myriad goods and activities that harm third parties, like carbon emissions and alcohol. Policymakers have recently been receptive to at least some of these arguments as evidenced by taxes imposed on or proposed for a variety of externality-generating goods, including guns, plastic bags, and sugary drinks.

The conventional economic rationale for Pigouvian taxes assumes that they affect …


Intellectual Property, Innovation And Economic Inequality, Daniel Benoliel, Peter K. Yu, Francis Gurry, Keun Lee Dec 2024

Intellectual Property, Innovation And Economic Inequality, Daniel Benoliel, Peter K. Yu, Francis Gurry, Keun Lee

Faculty Scholarship

While growing disparities in wealth and income are well-documented across the globe, the role of intellectual property rights is often overlooked. This volume brings together leading commentators from around the world to interrogate the interrelationship between intellectual property and economic inequality. Interdisciplinary and globally oriented by design, the book features economists, legal scholars, policy analysts, and other experts. Chapters address the impact of intellectual property rights on economic inequality, the effect of economic inequality on the protection and enforcement of these rights, and the potential use of innovation law and policy to help reduce economic inequality. The volume also tackles …


Basic Safety Message Generation Through A Video-Based Analytics For Potential Safety Application, Abyad Enan Dec 2024

Basic Safety Message Generation Through A Video-Based Analytics For Potential Safety Application, Abyad Enan

All Theses

With the advancement of modern artificial intelligence techniques, computer vision can play a vital role in enhancing roadway safety by reducing the risk of imminent collisions. To do so, a vision-based safety application is required, where a roadside camera can monitor the roadway traffic and predict potential risks of crashes in real-time. If any risky situation or behavior is observed that may lead to a crash, then a safety application can send warnings to the vehicles at risk. For vision-based safety applications on a roadway section, it is important to accurately monitor each vehicle’s location, speed, acceleration, heading direction, etc. …